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- W2611014295 abstract "We present a method of automaticaly extracting and gathering specific data text from web pages, creating a thematic corpus of reviews for opinion mining and sentiment analysis. The internet is an immense source of machine-readable texts cite{mcenery1996} suitable for linguistic corpus studiescite{Fletcher04}cite{Kilgarriff2003}. Though, specific tools of web information extraction research domain as well as from the NLP do not include an open source system able to provide a thematic corpus according to an end-user requestcite{Sharoff2006}. The need of use natural texts as databank for opinion mining and sentiment analysis is increased since the expansion of the digital interaction between users and blogs, forums and social networks. The RevScrap system is designed to provide an intuitive, easy-to-use interface able to extract specific information from accurate web pages returned by search engine's request and create a corpus composed by comments, reviews, opinions, as expressed by users' experience and feedback. The corpus is well structured in xml documents, reflected Singler's design criteriacite{sinclair01}.." @default.
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- W2611014295 date "2018-01-12" @default.
- W2611014295 modified "2023-09-27" @default.
- W2611014295 title "Review Web Pages Collector Tool for Thematic Corpus Creation" @default.
- W2611014295 doi "https://doi.org/10.29007/qcjn" @default.
- W2611014295 hasPublicationYear "2018" @default.
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